Small Language Models Are Eating Your LLM Bill: A Fine-Tuning Cost Breakdown
中文摘要
微调7B小模型在特定高频任务中优于大模型API，成本可降低20至100倍。
English Summary
Fine-tuning 7B models outperforms frontier APIs on narrow, high-volume tasks, cutting costs by 20x–100x.
Original Excerpt
When a fine-tuned 7B model beats a frontier API — reportedly a 20x–100x cost difference on narrow, high-volume tasks. Continue reading on Towards AI »